The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-11"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "37475325 (up from 37207057 yesterday: 0.72 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1076758 (up from 1072865 yesterday: 0.36 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6450973

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.87



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7762546 44614 0.58 957732 214768 398 0.19 2.77
India 7120538 66732 0.95 1632958 109150 816 0.75 1.53
Brazil 5094979 12342 0.24 550350 150488 290 0.19 2.95
Russia 1291687 13442 1.05 192729 22471 140 0.63 1.74
Colombia 911316 8569 0.95 146240 27834 174 0.63 3.05
Argentina 894206 10324 1.17 262841 23868 287 1.22 2.67
Spain 861112 0 0.00 221072 32929 0 0.00 3.82
Peru 849371 3283 0.39 86506 33305 82 0.25 3.92
Mexico 817503 3175 0.39 119840 83781 139 0.17 10.25
France 732434 0 0.00 264820 32601 0 0.00 4.45
South Africa 692471 1575 0.23 31260 17780 107 0.61 2.57
United Kingdom 606447 12882 2.17 209703 42915 65 0.15 7.08
Iran 500075 3822 0.77 77935 28544 251 0.89 5.71
Chile 481371 1776 0.37 35097 13318 46 0.35 2.77
Iraq 402330 2206 0.55 83295 9852 62 0.63 2.45
Bangladesh 378266 1193 0.32 29348 5524 24 0.44 1.46
Italy 354950 5456 1.56 56794 36166 26 0.07 10.19
Philippines 339341 2415 0.72 52598 6321 83 1.33 1.86
Saudi Arabia 339267 323 0.10 9513 5043 25 0.50 1.49
Turkey 335533 1502 0.45 32666 8837 59 0.67 2.63
Indonesia 333449 4497 1.37 88773 11844 79 0.67 3.55
Germany 326309 2846 0.88 52344 9626 6 0.06 2.95
Pakistan 319317 385 0.12 13013 6580 10 0.15 2.06
Israel 290493 618 0.21 102591 1980 39 2.01 0.68
Ukraine 268065 4960 1.89 87946 5098 88 1.76 1.90
Canada 184403 1636 0.90 38653 9666 5 0.05 5.24
Netherlands 180288 6394 3.68 82071 6642 18 0.27 3.68
Belgium 162258 5327 3.39 59963 10191 16 0.16 6.28
Romania 155283 2880 1.89 42502 5411 53 0.99 3.48
Morocco 152404 2563 1.71 50661 2605 33 1.28 1.71
Ecuador 147033 205 0.14 20614 12191 3 0.02 8.29
Bolivia 138574 111 0.08 7898 8308 16 0.19 6.00
Qatar 127985 207 0.16 4609 220 1 0.46 0.17
Poland 125816 4178 3.43 46576 3004 32 1.08 2.39
Panama 120313 647 0.54 14110 2491 9 0.36 2.07
Dominican Republic 118477 463 0.39 10188 2173 6 0.28 1.83
Czechia 117110 3105 2.72 67820 987 39 4.11 0.84
Kuwait 111116 548 0.50 11682 658 3 0.46 0.59
Kazakhstan 108831 74 0.07 1524 1746 0 0.00 1.60
Nepal 107755 2071 1.96 43633 636 22 3.58 0.59
United Arab Emirates 106229 1096 1.04 21313 445 2 0.45 0.42
Oman 105890 1761 1.69 12415 1038 29 2.87 0.98
Egypt 104516 129 0.12 2501 6052 12 0.20 5.79
Sweden 98451 0 0.00 10214 5894 0 0.00 5.99
Guatemala 97715 171 0.18 12271 3384 19 0.56 3.46
China 90812 34 0.04 443 4739 0 0.00 5.22
Japan 89400 438 0.49 10258 1628 2 0.12 1.82
Costa Rica 87439 0 0.00 23727 1076 0 0.00 1.23
Portugal 86664 1090 1.27 18087 2080 13 0.63 2.40
Ethiopia 84295 866 1.04 15475 1287 10 0.78 1.53
Honduras 84081 935 1.12 12465 2512 8 0.32 2.99
Belarus 83534 1063 1.29 7860 896 11 1.24 1.07
Venezuela 83137 684 0.83 16481 697 6 0.87 0.84
Bahrain 75614 327 0.43 10575 275 2 0.73 0.36
Moldova 62151 389 0.63 15555 1461 3 0.21 2.35
Uzbekistan 61098 322 0.53 9458 505 3 0.60 0.83
Switzerland 60368 0 0.00 11085 2088 0 0.00 3.46
Nigeria 60266 163 0.27 3024 1115 0 0.00 1.85
Singapore 57876 10 0.02 300 27 0 0.00 0.05
Armenia 56451 715 1.28 9020 1020 4 0.39 1.81
Austria 55319 896 1.65 17224 851 -1 -0.12 1.54
Lebanon 53568 1010 1.92 24265 459 4 0.88 0.86
Algeria 53072 132 0.25 3246 1801 6 0.33 3.39
Paraguay 49675 697 1.42 16155 1077 12 1.13 2.17
Kyrgyzstan 49230 306 0.63 3895 1085 3 0.28 2.20
Ghana 47005 0 0.00 1001 306 0 0.00 0.65
West Bank and Gaza 44299 354 0.81 8613 381 3 0.79 0.86
Libya 42712 1026 2.46 14763 631 8 1.28 1.48
Ireland 42528 814 1.95 9595 1826 2 0.11 4.29
Azerbaijan 41982 230 0.55 2794 609 1 0.16 1.45
Kenya 41546 388 0.94 4565 766 6 0.79 1.84
Afghanistan 39799 96 0.24 755 1477 4 0.27 3.71
Hungary 37664 1068 2.92 19674 954 21 2.25 2.53
Serbia 34787 102 0.29 1879 763 1 0.13 2.19
Denmark 32915 340 1.04 9562 669 2 0.30 2.03
Tunisia 32556 1297 4.15 21824 478 22 4.82 1.47
Bosnia and Herzegovina 30647 302 1.00 5219 928 1 0.11 3.03
El Salvador 30196 245 0.82 2643 890 3 0.34 2.95
Burma 27974 1910 7.33 22169 646 48 8.03 2.31
Australia 27285 22 0.08 373 898 0 0.00 3.29
Jordan 24926 928 3.87 20147 191 10 5.52 0.77
Korea, South 24703 97 0.39 1658 433 1 0.23 1.75
Bulgaria 24402 83 0.34 5539 892 1 0.11 3.66
Greece 22358 280 1.27 7216 449 13 2.98 2.01
Cameroon 21203 0 0.00 772 423 0 0.00 2.00
North Macedonia 20937 382 1.86 4202 792 7 0.89 3.78
Croatia 20440 508 2.55 5518 324 7 2.21 1.59
Cote d’Ivoire 20154 26 0.13 834 120 0 0.00 0.60
Slovakia 19851 1054 5.61 13174 61 0 0.00 0.31
Madagascar 16718 16 0.10 665 237 0 0.00 1.42
Kosovo 16179 49 0.30 1116 647 2 0.31 4.00
Malaysia 15657 561 3.72 5438 157 2 1.29 1.00
Norway 15524 58 0.38 2627 275 0 0.00 1.77
Zambia 15458 43 0.28 1327 337 0 0.00 2.18
Albania 15399 168 1.10 3014 420 4 0.96 2.73
Senegal 15268 24 0.16 554 314 0 0.00 2.06
Montenegro 13869 228 1.67 5257 202 4 2.02 1.46
Sudan 13673 3 0.02 118 836 0 0.00 6.11
Finland 11998 149 1.26 3018 346 0 0.00 2.88
Namibia 11936 45 0.38 1559 128 0 0.00 1.07
Georgia 11794 523 4.64 8292 85 7 8.97 0.72
Guinea 11022 26 0.24 697 69 0 0.00 0.63
Maldives 10894 35 0.32 1170 35 1 2.94 0.32
Congo (Kinshasa) 10851 10 0.09 336 276 0 0.00 2.54
Tajikistan 10222 42 0.41 876 79 0 0.00 0.77
Mozambique 10001 157 1.59 3230 71 1 1.43 0.71

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 855190 2780 0.33 69022 16579 12 0.07 1.94 21643.68 419.59 1 in 46
Texas 818426 2511 0.31 105419 16971 28 0.17 2.07 28225.60 585.29 1 in 35
Florida 734491 5570 0.76 50737 15364 178 1.17 2.09 34197.78 715.35 1 in 29
New York 474286 1143 0.24 24386 33294 1 0.00 7.02 24380.42 1711.46 1 in 41
Georgia 331409 1140 0.35 25254 7416 23 0.31 2.24 31213.69 698.47 1 in 32
Illinois 322178 2727 0.85 45735 9230 9 0.10 2.86 25424.76 728.39 1 in 39
North Carolina 231471 1719 0.75 37924 3770 5 0.13 1.63 22069.90 359.46 1 in 45
Arizona 225575 597 0.27 11554 5759 0 0.00 2.55 29622.87 756.28 1 in 34
Tennessee 214717 2068 0.97 31203 2767 9 0.33 1.29 31422.73 404.94 1 in 32
New Jersey 213628 751 0.35 13866 16174 3 0.02 7.57 24051.28 1820.95 1 in 42
Pennsylvania 176781 984 0.56 21914 8330 6 0.07 4.71 13808.87 650.68 1 in 72
Louisiana 172059 1181 0.69 10840 5655 20 0.35 3.29 37011.53 1216.44 1 in 27
Ohio 168749 1291 0.77 24440 4999 2 0.04 2.96 14436.44 427.66 1 in 69
Alabama 165342 816 0.50 20380 2664 0 0.00 1.61 33721.35 543.32 1 in 30
Virginia 158409 800 0.51 18014 3355 4 0.12 2.12 18558.80 393.06 1 in 54
South Carolina 157406 785 0.50 19698 3552 1 0.03 2.26 30571.91 689.88 1 in 33
Wisconsin 150236 2676 1.81 49009 1465 7 0.48 0.98 25802.95 251.61 1 in 39
Michigan 149453 0 0.00 21366 7219 0 0.00 4.83 14964.97 722.85 1 in 67
Missouri 145938 256 0.18 31768 2424 0 0.00 1.66 23778.36 394.95 1 in 42
Massachusetts 138903 563 0.41 11363 9604 17 0.18 6.91 19987.47 1381.97 1 in 50
Indiana 134981 1570 1.18 23476 3789 7 0.19 2.81 20050.00 562.82 1 in 50
Maryland 131357 562 0.43 11201 3999 4 0.10 3.04 21727.42 661.46 1 in 46
Minnesota 112268 1440 1.30 22251 2194 10 0.46 1.95 19906.97 389.03 1 in 50
Mississippi 104932 294 0.28 11568 3101 5 0.16 2.96 35257.64 1041.95 1 in 28
Iowa 99943 901 0.91 19533 1462 3 0.21 1.46 31676.95 463.38 1 in 32
Oklahoma 99387 766 0.78 22580 1098 3 0.27 1.10 25116.94 277.48 1 in 40
Washington 93035 0 0.00 10487 2190 0 0.00 2.35 12217.51 287.59 1 in 82
Arkansas 92833 613 0.66 17110 1569 17 1.10 1.69 30761.56 519.91 1 in 33
Utah 85844 1200 1.42 22072 517 7 1.37 0.60 26776.40 161.26 1 in 37
Nevada 85779 380 0.44 9975 1661 2 0.12 1.94 27848.91 539.26 1 in 36
Kentucky 80292 847 1.07 18750 1252 3 0.24 1.56 17971.77 280.24 1 in 56
Colorado 78437 819 1.06 13600 2113 1 0.05 2.69 13620.52 366.92 1 in 73
Kansas 65303 264 0.41 12603 774 1 0.13 1.19 22415.37 265.68 1 in 45
Connecticut 60038 0 0.00 4511 4530 0 0.00 7.55 16839.60 1270.58 1 in 59
Puerto Rico 53671 307 0.58 11833 730 2 0.27 1.36 16805.30 228.58 1 in 60
Nebraska 52382 495 0.95 11299 519 0 0.00 0.99 27079.09 268.30 1 in 37
Idaho 48066 365 0.77 10575 507 0 0.00 1.05 26821.57 282.91 1 in 37
Oregon 37255 331 0.90 6454 599 0 0.00 1.61 8832.94 142.02 1 in 113
New Mexico 32983 261 0.80 5404 911 4 0.44 2.76 15729.94 434.47 1 in 64
South Dakota 28564 617 2.21 9868 286 0 0.00 1.00 32288.15 323.29 1 in 31
North Dakota 27264 637 2.39 9306 337 1 0.30 1.24 35776.62 442.22 1 in 28
Rhode Island 26294 0 0.00 2674 1130 0 0.00 4.30 24820.62 1066.68 1 in 40
Delaware 22130 132 0.60 2564 654 1 0.15 2.96 22726.25 671.62 1 in 44
Montana 18702 585 3.23 8403 210 1 0.48 1.12 17498.49 196.49 1 in 57
West Virginia 18132 205 1.14 4070 385 -2 -0.52 2.12 10145.78 215.43 1 in 99
District of Columbia 15984 66 0.41 1029 637 1 0.16 3.99 22648.28 902.59 1 in 44
Hawaii 13472 101 0.76 2069 169 1 0.60 1.25 9514.98 119.36 1 in 105
Alaska 9686 255 2.70 2864 60 0 0.00 0.62 13240.47 82.02 1 in 76
New Hampshire 9143 51 0.56 1196 456 1 0.22 4.99 6724.22 335.37 1 in 149
Wyoming 7611 156 2.09 2739 54 0 0.00 0.71 13150.55 93.30 1 in 76
Maine 5720 25 0.44 643 143 0 0.00 2.50 4255.28 106.38 1 in 235
Vermont 1868 11 0.59 153 58 0 0.00 3.10 2993.64 92.95 1 in 334

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16047004 855190 5.33 2523846 69022 2.73 406127.6
2 Texas 6887551 818426 11.88 1294063 105419 8.15 237535.5
3 Florida 5550531 734491 13.23 455442 50737 11.14 258431.8
4 New York 12039573 474286 3.94 2117127 24386 1.15 618887.9
5 Georgia 3151039 331409 10.52 400217 25254 6.31 296780.0
6 Illinois 6310720 322178 5.11 1203369 45735 3.80 498012.1
7 North Carolina 3388250 231471 6.83 583432 37924 6.50 323057.1
8 Arizona 1566165 225575 14.40 182241 11554 6.34 205671.3
9 Tennessee 3172361 214717 6.77 505235 31203 6.18 464258.8
10 New Jersey 3914772 213628 5.46 561981 13866 2.47 440744.0
11 Pennsylvania 2205861 176781 8.01 296951 21914 7.38 172306.1
12 Louisiana 2488868 172059 6.91 309869 10840 3.50 535379.3
13 Ohio 3623321 168749 4.66 798024 24440 3.06 309974.3
14 Alabama 1210007 165342 13.66 155990 20380 13.06 246779.8
15 Virginia 2256820 158409 7.02 374792 18014 4.81 264403.4
16 South Carolina 1484658 157406 10.60 352063 19698 5.60 288355.1
17 Wisconsin 1696192 150236 8.86 256798 49009 19.08 291320.1
18 Michigan 4010309 149453 3.73 691840 21366 3.09 401558.7
19 Missouri 2075699 145938 7.03 863191 31768 3.68 338203.4
20 Massachusetts 4748004 138903 2.93 1348492 11363 0.84 683214.9
21 Indiana 1486182 134981 9.08 184242 23476 12.74 220756.6
22 Maryland 1731844 131357 7.58 202368 11201 5.53 286459.8
23 Minnesota 2318810 112268 4.84 480418 22251 4.63 411163.3
24 Mississippi 809587 104932 12.96 106424 11568 10.87 272025.0
25 Iowa 819460 99943 12.20 101181 19533 19.31 259728.0
26 Oklahoma 1339905 99387 7.42 267401 22580 8.44 338618.9
27 Washington 2061438 93035 4.51 338398 10487 3.10 270711.3
28 Arkansas 1146654 92833 8.10 262670 17110 6.51 379960.4
29 Utah 918571 85844 9.35 160406 22072 13.76 286520.0
30 Nevada 738304 85779 11.62 73120 9975 13.64 239697.0
31 Kentucky 1536175 80292 5.23 488180 18750 3.84 343842.3
32 Colorado 1541162 78437 5.09 345783 13600 3.93 267621.6
33 Kansas 560189 65303 11.66 85440 12603 14.75 192285.8
34 Connecticut 1796539 60038 3.34 374391 4511 1.20 503897.4
36 Nebraska 508921 52382 10.29 85561 11299 13.21 263088.8
37 Idaho 333839 48066 14.40 47009 10575 22.50 186287.3
38 Oregon 741233 37255 5.03 105164 6454 6.14 175741.9
39 New Mexico 989652 32983 3.33 132196 5404 4.09 471975.5
40 South Dakota 218111 28564 13.10 41758 9868 23.63 246548.1
41 North Dakota 685711 27264 3.98 123112 9306 7.56 899810.0
42 Rhode Island 864638 26294 3.04 189530 2674 1.41 816188.2
43 Delaware 310570 22130 7.13 39149 2564 6.55 318937.7
44 Montana 390258 18702 4.79 87445 8403 9.61 365144.1
45 West Virginia 633942 18132 2.86 119638 4070 3.40 354722.9
46 District of Columbia 436167 15984 3.66 81023 1029 1.27 618020.0
47 Hawaii 454713 13472 2.96 174864 2069 1.18 321154.0
48 Alaska 502997 9686 1.93 76072 2864 3.76 687581.8
49 New Hampshire 493109 9143 1.85 91420 1196 1.31 362657.2
50 Wyoming 110787 7611 6.87 18356 2739 14.92 191421.6
51 Maine 491109 5720 1.16 116971 643 0.55 365350.8
52 Vermont 172826 1868 1.08 16931 153 0.90 276969.6

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1493884 0 0 1212016 81.13 241986 39430 0 0 2.64
Andhra Pradesh 739719 0 0 684930 92.59 48661 6128 0 0 0.83
Karnataka 679356 0 0 552519 81.33 117143 9675 0 0 1.42
Tamil Nadu 640943 0 0 586454 91.50 44437 10052 0 0 1.57
Uttar Pradesh 427459 0 0 378662 88.58 42552 6245 0 0 1.46
Delhi 300833 0 0 272948 90.73 22232 5653 0 0 1.88
West Bengal 284030 0 0 249737 87.93 28854 5439 0 0 1.91
Kerala 258851 0 0 167256 64.61 90579 931 0 0 0.36
Odisha 244142 0 0 216984 88.88 26131 1027 0 0 0.42
Telangana 206644 0 0 179075 86.66 26368 1201 0 0 0.58
Bihar 192671 0 0 180357 93.61 11384 929 0 0 0.48
Assam 191397 0 0 159833 83.51 30767 794 0 0 0.41
Rajasthan 152605 0 0 129618 84.94 21382 1605 0 0 1.05
Gujarat 147950 0 0 128023 86.53 16386 3541 0 0 2.39
Madhya Pradesh 142022 0 0 122687 86.39 16788 2547 0 0 1.79
Haryana 138682 0 0 126267 91.05 10867 1548 0 0 1.12
Chhattisgarh 134612 0 0 106027 78.76 27427 1158 0 0 0.86
Punjab 121716 0 0 107200 88.07 10775 3741 0 0 3.07
Jharkhand 90486 0 0 80439 88.90 9272 775 0 0 0.86
Jammu and Kashmir 81793 0 0 69020 84.38 11482 1291 0 0 1.58
Uttarakhand 53359 0 0 44535 83.46 7849 702 0 0 1.32
Goa 37102 0 0 31902 85.98 4716 484 0 0 1.30
Puducherry 30539 0 0 25256 82.70 4727 556 0 0 1.82
Tripura 27756 0 0 23043 83.02 4389 301 0 0 1.08
Himachal Pradesh 16778 0 0 13583 80.96 2943 233 0 0 1.39
Chandigarh 12922 0 0 11344 87.79 1392 186 0 0 1.44
Manipur 12679 0 0 9719 76.65 2877 83 0 0 0.65
Arunachal Pradesh 11479 0 0 8679 75.61 2778 22 0 0 0.19
Meghalaya 7261 0 0 4832 66.55 2369 60 0 0 0.83
Nagaland 6736 0 0 5516 81.89 1149 12 0 0 0.18
Ladakh 4902 0 0 3550 72.42 1289 63 0 0 1.29
Andaman and Nicobar Islands 3952 0 0 3707 93.80 190 55 0 0 1.39
Sikkim 3246 0 0 2569 79.14 544 52 0 0 1.60
Dadra and Nagar Haveli and Daman and Diu 3129 0 0 2994 95.69 105 2 0 0 0.06
Mizoram 2150 0 0 1926 89.58 224 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2318988 113024 1032 0.92 4.87 433 48 12849 16985 15.03
Piemonte 793035 38503 409 1.07 4.86 378 24 5056 4177 10.85
Emilia-Romagna 1290991 37681 384 1.03 2.92 254 23 6349 4495 11.93
Veneto 2063607 31503 438 1.41 1.53 238 24 6088 2218 7.04
Lazio 1015486 19890 371 1.90 1.96 911 69 9842 976 4.91
Campania 682704 18530 633 3.54 2.71 664 61 10694 479 2.58
Toscana 839508 18160 517 2.93 2.16 186 31 6142 1174 6.46
Liguria 347496 15269 386 2.59 4.39 238 26 2598 1619 10.60
Puglia 453950 9512 212 2.28 2.10 301 21 3807 608 6.39
Sicilia 548934 9294 297 3.30 1.69 388 38 4401 336 3.62
Marche 268395 8593 108 1.27 3.20 44 6 1303 992 11.54
P.A. Trento 250287 6483 39 0.61 2.59 19 0 681 408 6.29
Friuli Venezia Giulia 449640 5513 97 1.79 1.23 22 5 1323 356 6.46
Abruzzo 223420 5057 77 1.55 2.26 116 8 1417 487 9.63
Sardegna 212459 5009 143 2.94 2.36 140 22 2772 165 3.29
P.A. Bolzano 192844 4064 84 2.11 2.11 35 1 940 293 7.21
Umbria 228743 3324 135 4.23 1.45 58 9 1236 88 2.65
Calabria 222632 2291 35 1.55 1.03 41 1 730 103 4.50
Valle d’Aosta 31273 1464 18 1.24 4.68 8 3 197 146 9.97
Basilicata 82150 1047 13 1.26 1.27 36 0 485 35 3.34
Molise 48171 739 28 3.94 1.53 9 0 165 26 3.52

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 86133 942 1.11 5953 3 0.05 6.91 10088.58 697.26 1 in 99
Ontario 61678 600 0.98 3056 1 0.03 4.95 4192.41 207.72 1 in 239
Alberta 19995 0 0.00 283 0 0.00 1.42 4530.78 64.13 1 in 221
British Columbia 10185 0 0.00 245 0 0.00 2.41 1992.79 47.94 1 in 502
Manitoba 2578 54 2.14 32 0 0.00 1.24 1871.48 23.23 1 in 534
Saskatchewan 2092 24 1.16 25 1 4.17 1.20 1770.38 21.16 1 in 565
Nova Scotia 1092 0 0.00 65 0 0.00 5.95 1117.18 66.50 1 in 895
Newfoundland and Labrador 282 0 0.00 4 0 0.00 1.42 540.89 7.67 1 in 1849
New Brunswick 272 14 5.43 2 0 0.00 0.74 348.72 2.56 1 in 2868
Prince Edward Island 63 2 3.28 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5182 105 2.03
Guangdong 1861 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1053 7 0.66
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 838 7 0.84
Sichuan 722 3 0.42
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Shaanxi 428 3 0.70
Fujian 416 1 0.24
Hebei 367 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 269 1 0.37
Guangxi 260 2 0.77
Tianjin 245 3 1.22
Yunnan 211 2 0.95
Shanxi 208 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 23724.16 656.38 1 in 42
India 5317.80 81.52 1 in 188
Brazil 24342.95 719.01 1 in 41
Russia 8939.01 155.51 1 in 112
Colombia 18571.75 567.23 1 in 54
Argentina 20198.92 539.15 1 in 50
Spain 18455.04 705.72 1 in 54
Peru 26402.58 1035.28 1 in 38
Mexico 6327.42 648.46 1 in 158
France 10933.48 486.65 1 in 91
South Africa 12208.59 313.47 1 in 82
United Kingdom 9127.74 645.92 1 in 110
Iran 6161.59 351.70 1 in 162
Chile 26668.75 737.84 1 in 37
Iraq 10512.93 257.43 1 in 95
Bangladesh NA NA 1 in NA
Italy 5868.88 597.98 1 in 170
Philippines 3234.90 60.26 1 in 309
Saudi Arabia 10299.54 153.10 1 in 97
Turkey 4152.12 109.36 1 in 241

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 282135 6771 2.40
Miami-Dade Florida 175118 3439 1.96
Cook Illinois 154519 5300 3.43
Harris Texas 151161 2682 1.77
Maricopa Arizona 146278 3466 2.37
Dallas Texas 86129 1169 1.36
Broward Florida 79332 1467 1.85
Queens New York 74150 7276 9.81
Kings New York 71635 7352 10.26
Clark Nevada 71633 1439 2.01
Riverside California 61845 1256 2.03
Bexar Texas 59684 1360 2.28
San Bernardino California 57974 986 1.70
Orange California 55775 1341 2.40
Tarrant Texas 55364 763 1.38
Bronx New York 53836 4966 9.22
San Diego California 50551 826 1.63
Palm Beach Florida 47955 1446 3.02
Nassau New York 47933 2204 4.60
Suffolk New York 47431 2016 4.25
Hillsborough Florida 44138 706 1.60
Orange Florida 42105 514 1.22
Westchester New York 38894 1460 3.75
Philadelphia Pennsylvania 38767 1830 4.72
Salt Lake Utah 37088 279 0.75
Wayne Michigan 36870 3006 8.15
New York New York 34342 3183 9.27
Hidalgo Texas 33352 1841 5.52
Kern California 32878 394 1.20
Shelby Tennessee 32722 537 1.64
Milwaukee Wisconsin 32281 549 1.70
Duval Florida 31956 483 1.51
Prince George’s Maryland 30692 836 2.72
Mecklenburg North Carolina 30366 365 1.20
Travis Texas 30265 441 1.46
Hennepin Minnesota 30218 953 3.15
Fresno California 29286 406 1.39
Franklin Ohio 29141 635 2.18
Fulton Georgia 29072 591 2.03
Middlesex Massachusetts 29055 2190 7.54
Gwinnett Georgia 28796 424 1.47
El Paso Texas 28499 556 1.95
Davidson Tennessee 28294 321 1.13
Pima Arizona 26402 631 2.39
St. Louis Missouri 26342 839 3.19
Suffolk Massachusetts 25562 1147 4.49
King Washington 23805 784 3.29
Sacramento California 23689 450 1.90
Montgomery Maryland 23601 855 3.62
Cameron Texas 23312 1037 4.45
Marion Indiana 23178 771 3.33
Bergen New Jersey 23173 2051 8.85
Pinellas Florida 23161 782 3.38
Utah Utah 23073 67 0.29
Santa Clara California 22555 357 1.58
Alameda California 22149 441 1.99
Fairfax Virginia 21952 599 2.73
Oakland Michigan 21878 1220 5.58
Essex New Jersey 21760 2129 9.78
Jefferson Alabama 21429 362 1.69
Lee Florida 21332 483 2.26
Essex Massachusetts 21193 1309 6.18
Hudson New Jersey 21183 1519 7.17
Polk Florida 21118 557 2.64
San Joaquin California 20828 473 2.27
Nueces Texas 20790 426 2.05
Fairfield Connecticut 20752 1426 6.87
Cobb Georgia 20545 442 2.15
Oklahoma Oklahoma 20431 201 0.98
Middlesex New Jersey 20361 1433 7.04
DeKalb Georgia 19702 380 1.93
Providence Rhode Island 19636 0 0.00
Passaic New Jersey 19605 1255 6.40
DuPage Illinois 19310 582 3.01
Tulsa Oklahoma 19138 176 0.92
Wake North Carolina 19093 258 1.35
Baltimore Maryland 18974 645 3.40
Cuyahoga Ohio 18441 667 3.62
Douglas Nebraska 18314 202 1.10
Lake Illinois 18251 498 2.73
Union New Jersey 18206 1361 7.48
Jefferson Louisiana 18051 576 3.19
Jefferson Kentucky 17899 321 1.79
Contra Costa California 17624 230 1.31
Polk Iowa 17182 276 1.61
Stanislaus California 17038 385 2.26
Fort Bend Texas 16880 295 1.75
Tulare California 16794 269 1.60
Rockland New York 16717 679 4.06
Baltimore City Maryland 16448 493 3.00
Richmond New York 16401 1088 6.63
Charleston South Carolina 16273 269 1.65
Collin Texas 16208 165 1.02
Richland South Carolina 16128 255 1.58
District of Columbia District of Columbia 15984 637 3.99
Macomb Michigan 15911 1041 6.54
Greenville South Carolina 15605 326 2.09
Hartford Connecticut 15520 1442 9.29
Will Illinois 15508 401 2.59
East Baton Rouge Louisiana 15483 448 2.89

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc